An operating environment aligned to reliably and securely deliver high-quality and consistent data to the enterprise

Process

  • Centralization and consolidation opportunities (e.g., single data quality or BI function)
  • Compliance and operational risk management
  • Performance tracking and reporting
  • Front-to-back interaction model and transparency

Use/security

  • Controls on who can access, use what data, and for what purposes

People

  • Capabilities, roles, skills, degree of specialization
  • Organizational mindsets and behaviors
  • Structured, unstructured data capture for personalization

Quality/ consistency

  • Metrics and approach for ensuring ongoing data integrity

Technology

  • Technology tools for managing data through life cycle (e.g., entry to archiving or deletion)